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Shazeer: multi-query attention for incremental decoding

Contribution grade

Efficient language and sequence modeling · Human-designed research method or resource

Reference score130,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Shared key and value representations across query heads to reduce decoder state traffic and improve incremental inference efficiency.

Scientific scope

Shared key and value representations across query heads to reduce decoder state traffic and improve incremental inference efficiency. This changes the attention architecture and can affect quality; it is not a lossless kernel optimization or the later grouped-query generalization.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. This changes the attention architecture and can affect quality; it is not a lossless kernel optimization or the later grouped-query generalization.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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